Mahendra kaku

• Data Engineer with 6+ years of experience designing, developing, testing, deploying, and supporting enterprise data engineering applications across Banking, Insurance, Life Sciences, and Healthcare domains. • Strong hands-on expertise in SQL, Python, PySpark, Azure Synapse Analytics, Azure Data Factory, Databricks, Hadoop, HDFS, Hive, Airflow, Snowflake, Shell Scripting, Jenkins, Bitbucket, and AutoSys. • Delivered production data solutions covering 135 scheduled batch workflows, NAS-to-HDFS ingestion, partitioned Text/Parquet datasets, Spark 2 to Spark 3 migration for 75 PySpark scripts, CI/CD deployments, incident resolution, and automated monitoring. • Skilled in large-scale batch processing, metadata-driven transformations, data validation, performance tuning, production support, UAT coordination, change request execution, and Agile delivery models.